In Silico Clinical Trials for Cardiovascular Disease: A Finite Element and Machine Learning Approach
This book covers in silico clinical trials of cardiovascular disease using a finite element and machine learning approach. Part I describes the fundamentals as well as the latest developments in the field: finite element modeling, system biology modeling for drug optimization, artificial intelligence approach for medical image processing, as well as pharmacokinetic and AI modeling. Part II provides use cases to describe how in silico clinical trials of cardiovascular disease are applied to specific cardiovascular diseases: carotid artery plaque modeling, aorta stenosis modeling, stent biodegradation modeling, surrogate AI model for left ventricle modeling, and more.

This book is geared toward upper-level undergraduate and graduate students as well as for researchers in the domains of bioengineering, biomechanics, biomedical engineering and medicine.

1145345706
In Silico Clinical Trials for Cardiovascular Disease: A Finite Element and Machine Learning Approach
This book covers in silico clinical trials of cardiovascular disease using a finite element and machine learning approach. Part I describes the fundamentals as well as the latest developments in the field: finite element modeling, system biology modeling for drug optimization, artificial intelligence approach for medical image processing, as well as pharmacokinetic and AI modeling. Part II provides use cases to describe how in silico clinical trials of cardiovascular disease are applied to specific cardiovascular diseases: carotid artery plaque modeling, aorta stenosis modeling, stent biodegradation modeling, surrogate AI model for left ventricle modeling, and more.

This book is geared toward upper-level undergraduate and graduate students as well as for researchers in the domains of bioengineering, biomechanics, biomedical engineering and medicine.

179.99 In Stock
In Silico Clinical Trials for Cardiovascular Disease: A Finite Element and Machine Learning Approach

In Silico Clinical Trials for Cardiovascular Disease: A Finite Element and Machine Learning Approach

by Nenad Filipovic (Editor)
In Silico Clinical Trials for Cardiovascular Disease: A Finite Element and Machine Learning Approach

In Silico Clinical Trials for Cardiovascular Disease: A Finite Element and Machine Learning Approach

by Nenad Filipovic (Editor)

Hardcover(2024)

$179.99 
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Overview

This book covers in silico clinical trials of cardiovascular disease using a finite element and machine learning approach. Part I describes the fundamentals as well as the latest developments in the field: finite element modeling, system biology modeling for drug optimization, artificial intelligence approach for medical image processing, as well as pharmacokinetic and AI modeling. Part II provides use cases to describe how in silico clinical trials of cardiovascular disease are applied to specific cardiovascular diseases: carotid artery plaque modeling, aorta stenosis modeling, stent biodegradation modeling, surrogate AI model for left ventricle modeling, and more.

This book is geared toward upper-level undergraduate and graduate students as well as for researchers in the domains of bioengineering, biomechanics, biomedical engineering and medicine.


Product Details

ISBN-13: 9783031600432
Publisher: Springer Nature Switzerland
Publication date: 07/28/2024
Edition description: 2024
Pages: 426
Product dimensions: 6.10(w) x 9.25(h) x (d)

About the Author

Nenad Filipović is a Professor within the Faculty of Engineering at the University of Kragujevac.

Table of Contents

Chapter 1 - Heart physiology and heart diseases, Djordje Jakovljevic, Nenad Filipović.- Chapter 2 - Finite element modeling, Nenad Filipović.- Chapter 3 - System biology modeling for drug optimization, Marko Zivanovic, Nenad Filipović.- Chapter 4 - Artificial intelligence approach for medical image processing, Tijana Sustersic, Nenad Filipović.-Chapter 5 - Pharmacokinetic and AI modeling, Lazar Velicki, Nenad Filipović.- Chapter 6 - Molecular micro modeling of heart muscle, Momcilo Prodanovic, Nenad Filipović.- Chapter 7 - Use case: Risk stratification of cardiomyopathy disease, Lazar Dasic, Nenad Filipović.- Chapter 8 - Use case: Surrogate AI model for left ventricle modeling, Bogdan Milicevic, Nenad Filipović.- Chapter 9 - Use case: Carotid artery plaque modeling, Andjela Blagojevic, Nenad Filipović.- Chapter 10 - Use case: Stent deployment for coronary artery, Miljan Milosevic, Nenad Filipović.- Chapter 11 - Use case: Balloon deployment for peripheral arteries. Aleksandra Vulovic, Nenad Filipović.- Chapter 12 - Use case: Aorta stenosis modeling, Smiljana Tomasevic, Nenad Filipović.- Chapter 13 - Use case: Stent biodegradation modeling, Dalibor Nikolic, Nenad Filipović.

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